“…METHODS: We searched articles published between January 1997 and September 2018 using Agris, Econlit, Eldis, IBSS, IDEAS, IFPRI, Google Scholar, PubMed and World Bank databases. We included studies using quantitative impact evaluation methods of CTs with sample sizes over 300, targeted to households with children under 5 years old conducted in countries with gross domestic product per capita below US$10 000 at baseline. …”
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“…The establishment of regional higher education Centres of Excellence (CoE) across Africa through a World Bank support aims to stimulate the needed transformation in education and research. …”
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“…The data sets were the yearly historical mortality rates between 1960s and 2017, obtained from the World Bank website. Two scenarios of mortality trajectories were simulated: (1) status quo scenarios—assuming the current trend continues; and (2) acceleration scenarios—consistent with the SDG targets. …”
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“…Policy score 1, a variable derived from our factor analysis and related to malaria endemicity, is significantly strongly correlated with the malaria burden, moderately with HDI, GDP per capita, total health expenditure per capita, PMI USAID funding; weakly with island status, urban population share, latitude, coastal population share, total government expenditure and trade openness, Global Fund funding, World Bank funding, UK government funding, and UNICEF funding per capita. …”
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“…We categorized countries into high-income countries (HIC), upper-middle-income countries (UMIC), lower-middle-income countries (LMIC), and low-income countries (LIC) according to World Bank classification by income as of 2020. FINDING: Statistically, countries in different income groups are significantly different in terms of new cases identified in the last 2 weeks and the case fatality rate (MANOVA, P value < 0.001). …”
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“…METHODS: Weekly surveillance data reported by the World Health Organization from January 2017 to December 2019 for influenza and from January 1, 2020 through October 31, 2020, for COVID-19 were used to assess seasonal and temporal trends for influenza and COVID-19 cases across the seven World Bank regions. RESULTS: In regions with more pronounced influenza seasonality, COVID-19 epidemics have largely followed trends similar to those seen for influenza from 2017 to 2019. …”
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“…Included articles reported data from 105 countries and territories covering all WHO regions and World Bank income levels (low income: 1.9%, lower middle: 24.7%, upper middle: 29.5% and high income; 44.8%). …”
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“…Baseline national data were taken from findings of the Ethiopian demographic and health survey 2016, and World Bank and World Health Organization country specific reports. …”
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“…However, the distribution of studies across World Bank regions, intervention and outcome categories are uneven. …”
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“…The income per capita of a country was rated according to the World Bank Country and Lending groups. RESULTS: The return rate was 76% with a total of 37 countries participating. …”
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“…Materials and methods To assess these correlations, we conducted an ecologic study of 178 countries using time-matched data from the Social Progress Index (www.socialprogress.org, produced by the Social Progress Imperative), population data from the World Bank (data.worldbank.org), government response indices from Our World In Data (ourworldindata.org/policy-responses-covid), and COVID-19 mortality data from the Johns Hopkins University CSSE COVID-19 Data repository (github.com/CSSEGISandData/COVID-19), accessed on November 22(nd), 2020. …”
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“…We compared average total and individual items fulfillment scores according to the respective country's World Bank income. Patient characteristics and details of unit infrastructure were also evaluated as potential predictors of total GBC fulfillment scores. …”
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“…The categorizations of countries were done based on GNI based classification by the World Bank. RESULTS: Among the selected countries, the overweight prevalence ranged from 3.9% (India) to 78.8% (Kiribati), while obesity prevalence ranged from 3.6% (Bangladesh) to 46.0% (Kiribati). …”
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“…METHODS: For this financial modelling study, we estimated annual spending on immunisations for 135 low-income and middle-income countries (as determined by the World Bank) from 2000 to 2017, with a focus on government, donor, and out-of-pocket spending, and disaggregated spending for vaccines and delivery costs, and routine schedules and supplementary campaigns. …”
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“…Principal Components were associated with socioeconomic data available from the World Bank database. Sensitivity analyses were realized to verify the stability of dietary patterns through five different times. …”
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“…DESIGN: Secondary analysis of WHO survey on eHealth as well as use of data from the World Bank, and Internet World Stats on global eHealth services. …”
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“…METHODS: Building on a prior search done in 2018, we searched articles published between January 2018 and March 2021 using Agris, Econlit, Eldis, IBSS, IDEAS, IFPRI, Google Scholar, PubMed and World Bank databases. We included studies using quantitative impact evaluation methods of CTs with sample sizes over 300, targeted to households with children under 5 years conducted with clear counterfactuals in countries with gross domestic product below US$10 000 at baseline. …”
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“…FUNDING: WHO (including underlying grants from the governments of Japan, the Netherlands, and the UK), World Bank (including an underlying grant from the Global Water Security and Sanitation Partnership), and UNICEF. …”
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“…Editorial staff country affiliations and study country locations were classified according to World Bank income brackets and regions. EXPOSURE: Editorial staff country affiliation. …”
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“…FUNDING SOURCES: Accelerating Higher Education Expansion and Development (AHEAD) grant (Grant number: DOR STEM HEMS [6026-LK/8743-LK]), a World Bank-funded project through the University grant commission, Sri Lanka.…”
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